AI Engineer

commercetools · Londonsenior

In short

▸Ingeniero de IA que construye y opera aplicaciones completas de IA en producción.
▸Día a día: orquesta agentes, integra sistemas, crea UI generativa y valida modelos con datos reales.
▸Lo destacado: usas modelos no como experimentos, sino como componentes confiables en sistemas críticos.

Working proficiency in English is required

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What they ask for

✓Experiencia concreta en aplicaciones full-stack en producción
✓Capacidad de orquestar agentes de IA con herramientas y reglas comerciales
✓Conocimiento en integración segura de APIs empresariales
✓Experiencia en generación de UI con salida de modelos
✓Enfoque orientado a evaluaciones medibles y mejora real
✓Trabajo con datos reales, embeddings y bucles de retroalimentación

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MCPGenerative UI protocolsRetrievalEmbeddingsFeedback loopsStructured outputsTool useBusiness-rule enforcementGraceful failureModel evaluation

Who should you write to at commercetools?

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About commercetools Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people. Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers.The kind of people who not only pioneered a more flexible approach to commerce architecture but also shaped the culture of experimentation that approach unlocked. Together they are the engine of commerce innovation today. At commercetools, we power the next era of autonomous commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits. Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own. Your Impact You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You've personally shipped and operated full-stack apps in production, so backend, frontend, data, and ML aren't four teams you coordinate with, they're four things you do. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. You will: • Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure • Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs • Render model output into live, streamed, accessible UI via generative-UI protocols • Ground models in real data: retrieval, embeddings, and feedback loops that actually close • Treat evals as a first-class system - provable improvement, not vibes • Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature This is a full time hybrid role location in either Berlin, Durham, Munich, London or Valencia . What Sets Y ou Apart You're a creative problem-solver who is wired to find solutions. You confidently dive into complex challen

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